P-01
The pilot graveyard
Twelve proofs of concept, none in production. No owner, no evaluation harness, no path from notebook to a system operations will accept.
Our answerPaid pilots with a written production gate — pass and we ship it, fail and you keep the findings.
P-02
The data is trapped in documents
Invoices, claims, bills of lading, PDFs, scans, faxes and thirty years of legacy tables. The AI is fine; the input never arrives.
Our answerDocument intelligence and a data foundation layer built before any model work starts.
P-03
Compliance is the real blocker
EU AI Act classification, GDPR transfers, SOC 2 evidence, procurement's data-residency questionnaire. Legal stops the project, not engineering.
Our answerEU and US residency options, model-choice control, DPIA-ready documentation and full audit trails from day one.
P-04
Nobody can prove it is right
A confident wrong answer in a customer-facing or regulated workflow costs more than the whole programme saved.
Our answerEvaluation sets, citation-grounded answers, guardrails and drift monitoring shipped with the system.
P-05
Vendor sprawl and unpredictable spend
Nine AI tools, four contracts, no consolidated view of cost per outcome, and a bill that moves with token prices.
Our answerModel-agnostic architecture, cost telemetry per workflow, and the option to move to smaller in-house models.
P-06
Cloud-only AI cannot reach the floor
Factories, clinics, retail back rooms and field devices have bandwidth, latency and sovereignty limits the cloud ignores.
Our answerOn-device inference on Xelec hardware — the capability most AI vendors simply do not have.